Senior AI Engineer
Tasks
- Develop AI assisted performance and load testing capabilities
- Develop reusable prompts and instruction sets for test generation
- Enable governed AI workflows for test design analysis and optimization
- Enable self healing automation for UI API and database changes
- Extend automation frameworks with AI capabilities
- Implement AI orchestration and MCP enterprise integrations
- Implement Governance as Code across automation repositories
- Implement deterministic synthetic test data generation and management
- Integrate framework with CI CD and support dynamic regression selection
- Track automation coverage stability execution time and defect trends through reporting
- Transition existing automation flows into unified framework and validate PoC success criteria
Perks/Benefits
Skills/Tech-stack
AI orchestration | AI-assisted testing | API Testing | Agentic Frameworks | CI/CD | Data Generation | Data Management | GitHub Actions | GitHub Copilot | Governance-as-code | Jenkins | Langchain | Load Testing | Locust | MCP | MLOps | Performance Testing | PromptOps | Python | Report Portal | Self-healing | Self-healing automation | Semantic Kernel | Synthetic Test Data Generation | Synthetic test data | Test Data | Test Data Management | Test data generation | UI Automation | Version control | “as-code”
Education
N/A
Roles
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